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Fraud detection in capital markets: A novel machine learning approach

  • Published:2023-11 Issue: Volume:231 Page:120760
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Yi Ziwei,Cao Xinwei,Pu Xujin,Wu Yiding,Chen Zuyan,Khan Ameer Tamoor,Francis Adam,Li Shuai

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Modern machine learning solutions for portfolio selection;Asawa;IEEE Engineering Management Review,2022

2. Detecting accounting fraud in publicly traded U.S. firms using a machine learning approach;Bao;Journal of Accounting Research,2020

3. MWMOTE–Majority weighted minority oversampling technique for imbalanced data set learning;Barua;IEEE Transactions on Knowledge and Data Engineering,2014

4. Using machine learning to detect misstatements;Bertomeu;Review of Accounting Studies,2021

5. Detecting management fraud in public companies;Cecchini;Management Science,2010

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1. Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks;Expert Systems with Applications;2025-01

2. Credit card fraud detection using the brown bear optimization algorithm;Alexandria Engineering Journal;2024-10

3. Metaheuristics and Machine Learning Convergence;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-06-30

4. Comparative study of deep learning explainability and causal ai for fraud detection;International Journal on Smart Sensing and Intelligent Systems;2024-04-01

5. New Paradigm in Financial Technology Using Machine Learning Techniques and Their Applications;Intelligent Systems Reference Library;2024
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